التفاصيل البيبلوغرافية
| العنوان: |
Method development of multi pesticide residue analysis in country beans collected from Dhaka, Bangladesh, and their dietary risk assessment. |
| المؤلفون: |
Bhuiya, Ananya1,2 (AUTHOR), Yasmin, Sabina1 (AUTHOR) sabinayasmin@bcsir.gov.bd, Shaikh, Md Aftab Ali1,3 (AUTHOR), Mustafa, M. Golam2 (AUTHOR), Kabir, Md Humayun1 (AUTHOR) humayunkabir@bcsir.gov.bd |
| المصدر: |
Food Chemistry. Jul2024, Vol. 445, pN.PAG-N.PAG. 1p. |
| مصطلحات موضوعية: |
*PESTICIDE pollution, *PESTICIDES, *PESTICIDE residues in food, *HEALTH risk assessment, *LIQUID chromatography-mass spectrometry, *RISK assessment, *BEANS |
| مصطلحات جغرافية: |
DHAKA (Bangladesh) |
| مستخلص: |
[Display omitted] • A Modified QuEChERS method was validated to quantify the 5 pesticides residue. • 56% of the total samples exceeded the maximum residue limits (MRLs). • Pymetrozine was the most frequently detected pesticide. • The hazard quotient (HQ) was calculated to assess consumers' health risks. The aim of the study was to develop a modified QuEChERS method coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS) for the simultaneous determination of five multi-class pesticides in country beans collected from Dhaka, Bangladesh. Pesticides were extracted using ACN, and to minimize the co-extraction matrix, optimized d-SPE cleanup was done using sorbents (GCB, PSA, and C18). In the calibration range, the method showed excellent linearity with a correlation coefficient of R2 ≥ 0.9990 both in solvent- and matrix-matched calibration. For the selected pesticides, average recoveries (at four spiking levels (n = 5) of 10, 20, 100, and 200 µg/kg) of 70–100 % were achieved with relative standard deviations (RSDs) ≤ 9.5 %. The limit of detection (LOD) and limit of quantification (LOQ) ranged from 0.3333 to 1.3333 μg/kg and 1.0 to 4.0 μg/kg, respectively. The dietary risk assessment, in terms of hazard quotient (HQ), was calculated to assess consumers' health risks. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
Academic Search Index |
